1859 search results - page 294 / 372 » Using Problems to Learn Service-Oriented Computing |
135
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SIGIR
2006
ACM
15 years 10 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
143
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ACL
1996
15 years 6 months ago
1996
This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
154
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KDD
2009
ACM
16 years 5 months ago
2009
ACM
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
133
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AES
2008
Springer
15 years 4 months ago
2008
Springer
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
142
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...